Suchergebnisse - parallel amd distributed computing

Automated parallel execution of distributed task graphs with FPGA clusters von de Haro Ruiz, Juan Miguel, Martínez, Carlos Álvarez, Jiménez-González, Daniel, Martorell, Xavier, Ueno, Tomohiro, Sano, Kentaro, Ringlein, Burkhard, Abel, François, Weiss, Beat

“… Over the years, Field Programmable Gate Arrays (FPGA) have been gaining popularity in the High Performance Computing (HPC …”
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PRNGine: Massively Parallel Pseudo-Random Number Generation and Probability Distribution Approximations on AMD AI Engines von Bouaziz, Mohamed, Fahmy, Suhaib A.

“… Generating large volumes of random numbers is essential for high-performance computing applications such as Monte Carlo simulations, machine learning, and dynamic game-play …”
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StreamMR: An Optimized MapReduce Framework for AMD GPUs von Elteir, M., Heshan Lin, Wu-chun Feng, Scogland, T.

“… MapReduce is a programming model from Google that facilitates parallel processing on a cluster of thousands of commodity computers …”
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Optimization and Portability of a Fusion OpenACC-based FORTRAN HPC Code from NVIDIA to AMD GPUs von Sfiligoi, Igor, Belli, Emily A, Candy, Jeff, Budiardja, Reuben D

“… Recent exascale HPC systems are, however, introducing GPUs from other vendors, e.g. with the AMD GPU-based OLCF Frontier system just becoming available …”
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A method for decompilation of AMD GCN kernels to OpenCL von Mihajlenko, K I, Lukin, M A, Stankevich, A S

“… They are available for many hardware architectures and programming languages. However, none of the existing decompilers support modern AMD GPU architectures such as AMD GCN and RDNA. Purpose …”
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Efficient and Distributed Computation of Electron Repulsion Integrals on AMD AI Engines von Menzel, Johannes, Plessl, Christian

“… Computing electron repulsion integrals (ERIs) is the major computational bottleneck of many quantum mechanical simulation methods, requiring trillions of ERI evaluations per time step …”
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Distributed computation of the critical path from execution traces von Denys, Pierre‐Frédérick, Fournier, Quentin, Dagenais, Michel R.

“… Due to the ever‐increasing number of computer nodes in distributed systems, efficient and effective tools have become crucial for their analysis …”
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Performance portable Vlasov code with C++ parallel algorithm von Asahi, Yuuichi, Padioleau, Thomas, Latu, Guillaume, Bigot, Julien, Grandgirard, Virginie, Obrejan, Kevin

“… parallel algorithm to run across multiple CPUs and GPUs. Relying on the language standard parallelism stdpar and proposed language standard multi-dimensional array …”
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GPU-Accelerated Tree-Search in Chapel Versus CUDA and HIP von Helbecque, Guillaume, Krishnasamy, Ezhilmathi, Melab, Nouredine, Bouvry, Pascal

“… In the context of exascale programming, the PGAS-based Chapel is among the rare languages targeting the holistic handling of high-performance computing issues including the productivity-aware …”
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TaPaSCo-AIE: An Open-Source Framework for Streaming-Based Heterogeneous Acceleration Using AMD AI Engines von Heinz, Carsten, Kalkhof, Torben, Lavan, Yannick, Koch, Andreas

“… AMD AI Engines (AIEs) extend the design space and open up new options for coarse-grained processing in re-configurable accelerators …”
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On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors von Ouro, Pablo, Lopez-Novoa, Unai, Guest, Martyn

“… No area of computing is hungrier for performance than High Performance Computing (HPC …”
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A Performance Model for GPUs with Caches von Thanh Tuan Dao, Jungwon Kim, Sangmin Seo, Egger, Bernhard, Jaejin Lee

“… To exploit the abundant computational power of the world's fastest supercomputers, an even workload distribution to the typically heterogeneous compute devices …”
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BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer von Sattar, Naw Safrin, Lu, Hao, Wang, Feiyi

“… Handling large graphs in a distributed environment requires effective partitioning across processors and efficient management of local partitions …”
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Dissecting the Software-Based Measurement of CPU Energy Consumption: A Comparative Analysis von Raffin, Guillaume, Trystram, Denis

“… (and more) without the need for additional hardware. Since 2017, it is available on most x86 processors, including AMD processors …”
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Cloud Colonography: Distributed Medical Testbed over Cloud von Motai, Yuichi, Henderson, Eric, Siddique, Nahian Alam, Yoshida, Hiroyuki

“… The proposed AMD has the potential to play a role of the core classifier in the cloud computing framework …”
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Integer Sum Reduction with OpenMP on an AMD MI100 GPU von Jin, Zheming, Vetter, Jeffrey S.

“… Sum reduction is a primitive operation in parallel computing. Device offload support allows a user to use OpenMP directives to take advantage of a highly capable GPU …”
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A Fine-grained Prefetching Scheme for DGEMM Kernels on GPU with Auto-tuning Compatibility von Li, Jialin, Ye, Huang, Tian, Shaobo, Li, Xinyuan, Zhang, Jian

“… General Matrix Multiplication (GEMM) is one of the fundamental kernels for scientific and high-performance computing …”
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Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures von Byunghyun Jang, Schaa, Dana, Mistry, Perhaad, Kaeli, David

“… The introduction of General-Purpose computation on GPUs (GPGPUs) has changed the landscape for the future of parallel computing …”
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Parallel breadth-first search on distributed memory systems von Buluç, Aydin, Madduri, Kamesh

“… Data-intensive, graph-based computations are pervasive in several scientific applications, and are known to to be quite challenging to implement on distributed memory systems …”
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Multi-BSP vs. BSP: A Case of Study for Dell AMD Multicores von Trabes, Guillermo, Gil-Costa, Veronica, Printista, Marcela, Marin, Mauricio

“… The Bulk-Synchronous Parallel (BSP) is a well-known computing model originally devised for distributed algorithms running on clusters of single-core processors …”
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